2.6 KiB

Raw Blame History

Util Result2

Analysis generated on: 4/2/2025 10:15:36 AM

SQL Statement

SELECT [Util Selection 3].*, [Util Selection 1].*, [Util Selection 1].ActualPartWidth AS OriginalPartW INTO [Util Selection C1]
FROM ([Util Selection 3] LEFT JOIN [Util Selection 2] ON [Util Selection 3].PRDNO = [Util Selection 2].prt) LEFT JOIN [Util Selection 1] ON [Util Selection 2].PartNumber = [Util Selection 1].PartNumber;

Dependencies

None

Parameters

Error analyzing parameters: For loop not initialized

What it does

SQL Code Description

The provided SQL code performs a complex data transformation and joins operation on three tables: [Util Selection 3], [Util Selection 2], and [Util Selection 1]. Here's a detailed breakdown of what the code does:

Overview

The query selects data from the three tables, joins them based on common columns, and transforms the data into a new table named [Util Selection C1].

Key Components

Subquery (Derived Table): The first part of the query uses a subquery to join [Util Selection 3] with [Util Selection 2]. This subquery uses a LEFT JOIN operation, which returns all records from the left table ([Util Selection 3]) and matching records from the right table ([Util Selection 2]). If there are no matches, the result will contain NULL values for the columns from [Util Selection 2].
Main Query: The main query then joins the subquery with [Util Selection 1] using another LEFT JOIN operation. This join is based on the matching column between the two tables (PartNumber).
Select and Transform: Finally, the query selects all columns from both the subquery and [Util Selection 3]. The selected columns from [Util Selection 2] are aliased as [Util Selection 1].ActualPartWidth, effectively transforming the data into a new format.

Output

The resulting table [Util Selection C1] contains the transformed data with all the selected columns, including the OriginalPartW column alias. The actual values in the OriginalPartW column will be taken from the original [Util Selection 3] table.

Example Use Case

Suppose you have three tables: PRD_NO, PART_NUMBER, and PART Details. You want to transform the data in these tables into a new format that includes all columns and joins them based on common columns. This SQL code can be used to achieve such transformations.

Advice

When working with complex joins, make sure to carefully plan your query structure, use meaningful aliases for table names and column names, and consider adding comments or annotations to explain the purpose of each section of the query.

2.6 KiB Raw Blame History